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Quijote-png: Quasi-maximum likelihood estimation of primordial non-gaussianity in the nonlinear dark matter density field
(American Astronomical Society, 2022)
Future large-scale structure surveys are expected to improve current bounds on primordial non-Gaussianity (PNG),
with a significant impact on our understanding of early universe physics. The level of such improvements ...
Impact of Rubin observatory cadence choices on supernovae photometric classification
(American Astronomical Society, 2023)
The Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) will discover an unprecedented
number of supernovae (SNe), making spectroscopic classification for all the events infeasible. LSST will thus rely
on ...
Multifilter time-series observations of eleven blue short-period atlas variable stars
(IOP Publishing, 2023)
Eleven periodic variable stars were observed photometrically through two to four filters from the set UBVRCIC.
Phase-folded data for each star cover full cycles of variation. Spectral energy distributions, based on ...
Efficient long-range active galactic nuclei (agns) feedback affects the low-redshift lyα forest
(American Astronomical Society, 2023)
Active galactic nuclei (AGNs) feedback models are generally calibrated to reproduce galaxy observables such as
the stellar mass function and the bimodality in galaxy colors. We use variations of the AGN feedback
implementations ...
Impact of Rubin Observatory Cadence Choices on Supernovae Photometric Classification
(The Astrophysical Journal Supplement Series, 2023)
The Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) will discover an unprecedented number of supernovae (SNe), making spectroscopic classification for all the events infeasible. LSST will thus rely on ...
Constraining primordial non-gaussianity by combining next-generation galaxy and 21 cm intensity mapping surveys
(SpringerOpen, 2023)
Surveys of the matter distribution contain ‘fossil’
information on possible non-Gaussianity that is generated in
the primordialUniverse. This primordial signal survives only
on the largest scales where cosmic variance ...
Simulating a full-sky high resolution Galactic synchrotron spectral index map using neural networks
(Monthly Notices of the Royal Astronomical Society, 2023)
We present a model for the full-sky diffuse Galactic synchrotron spectral index with an appropriate level of spatial structure for a resolution of 56 arcmin (to match the resolution of the Haslam 408 MHz data). Observational ...
Disentangling non-gaussianity, bias, and general relativistic effects in the galaxy distribution
(American Physical Society, 2012)
Local non-Gaussianity, parametrized by
f
NL
, introduces a scale-dependent bias that is strongest at large scales, precisely where general relativistic (GR) effects also become significant. With future data, it should ...
On the time delay between ultra-relativistic particles
(Elsevier, 2016)
The time delay between the receptions of ultra-relativistic particles emitted simultaneously is a useful observable for both fundamental physics and cosmology. The expression of the delay when the particles travel through ...
Reconstruction of dark energy and expansion dynamics using Gaussian processes
(IOP Publishing, 2012)
An important issue in cosmology is reconstructing the effective dark energy equation
of state directly from observations. With few physically motivated models, future dark
energy studies cannot only be based on constraining ...